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Unsupervised machine learning reveals lesional variability in focal cortical dysplasia at mesoscopic scale
2020
NeuroImage: Clinical
Focal cortical dysplasia (FCD) is the most common epileptogenic developmental malformation and a prevalent cause of surgically amenable epilepsy. While cellular and molecular biology data suggest that FCD lesional characteristics lie along a spectrum, this notion remains to be verified in vivo. We tested the hypothesis that machine learning applied to MRI captures FCD lesional variability at a mesoscopic scale. We studied 46 patients with histologically verified FCD Type II and 35 age- and
doi:10.1016/j.nicl.2020.102438
pmid:32987299
pmcid:PMC7520429
fatcat:cqz4mu6qdrbrjkmkkhlvyhkk7y